Tao Wang
Assistant Professor
Department of Computer Science, New Mexico State University
1290 Frenger Mall, SH 123, Las Cruces, NM 88003
Email: taow@nmsu.edu      
Office: Science Hall 151     



Interested in working with us? I am always looking for capable, dedicated, and self-motivated students to involve in my research. Multiple positions are available for both Ph.D. and undergraduate students. For detailed information, please refer to Prospective Students.

Recent News

[Nov, 2021] The paper "IoTGAN: GAN Powered Camouflage Against Machine Learning Based IoT Device Identification" has been accepted to IEEE DySPAN 2021.
[Jul, 2021] The paper on combating adversarial network inference has been accepted by IEEE/ACM Transactions on Networking (ToN).
[Oct, 2020] I am invited to serve in the technical program committee of IEEE International Conference on Communications (ICC) 2021.
[Dec, 2019] Our work on proactive network topology obfuscation is to appear in IEEE INFOCOM 2020.
[Nov, 2019] The paper "Smart Spying via Deep Learning: Inferring Your Activities from Encrypted Wireless Traffic" won the Best Paper Award at IEEE GlobalSIP.
[Oct, 2019] Our paper "Far Proximity Identification in Wireless Systems" has been accepted by IEEE Trans. on Dependable and Secure Computing (TDSC).
[May, 2019] I will join Department of Computer Science at New Mexico State University as a tenure-track Assistant Professor in Fall 2019.
[Nov, 2018] Our paper on evesdropping entrapment has been accepted by IEEE INFOCOM 2019.

Short Biography

Dr. Tao Wang is an Assistant Professor in Department of Computer Science at New Mexico State University. He received his Ph.D. degree from University of South Florida under supervision of Dr. Yao Liu in 2019, and received his B.S. degree from Jilin University, China. His research focuses on network and cyber-physical security with an emphasis on designing defense methods that can protect emerging wireless technologies (e.g., IoT, 5G network) from being undermined by adversaries. Recently, he has been working on the adversarial machine learning towards secure resource allocation in Multi-user MIMO systems. His research is also related to web security, specifically, on identifying security threats and developing countermeasures to improve web security.

Research Interests

  • Network Security, Web Security, 5G Security, Cyber-physical System Security and IoT Security
  • Wireless Network, Wireless Communication
  • AI for Cybersecurity, Adversarial Machine Learning
  • Selected Publications [Full List]

    (IEEE ToN'21) Combating Adversarial Network Topology Inference by Proactive Topology Obfuscation.
    (IEEE INFOCOM'20) ProTO: Proactive Topology Obfuscation Against Adversarial Network Topology Inference.
    (IEEE TDSC'20) Far Proximity Identification in Wireless Systems.
    (IEEE INFOCOM'19) Entrapment for Wireless Eavesdroppers.
    (IEEE TDSC'18) Signal Entanglement based Pinpoint Waveforming for Location-restricted Service Access Control.
    (IEEE TMC'17) Virtual Multipath Attack and Defense for Location Distinction in Wireless Networks.
    (ACM CCS'15) Location-restricted Services Access Control Leveraging Pinpoint Waveforming.
    (ESORICS'14) Fingerprinting Far Proximity From Radio Emissions.
    Top